Bemisia tabaci strain:Asia II 1 | isolate:WFR-01
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA759071 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15682801_1.fastq.gz | Fastqsanger.gz | |||
| SRR15682801_2.fastq.gz | Fastqsanger.gz | |||
| SRR15682802_1.fastq.gz | Fastqsanger.gz | |||
| SRR15682802_2.fastq.gz | Fastqsanger.gz | |||
| SRR15682803_1.fastq.gz | Fastqsanger.gz |
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Project description:Begomoviruses, the largest, most damaging and emerging group of plant viruses in the world, infect hundreds of plant species and new virus species of the group are discovered each year. They are transmitted by species of the whitefly Bemisia tabaci. Tomato yellow leaf curl virus (TYLCV) is one of the most devastating begomoviruses worldwide and causes major losses in tomato crops as well as in many more agriculturally important plant species. Different B. tabaci populations vary in their virus transmission abilities; the causes for these differences are attributed among others to genetic diversity of vector populations, as well as to differences in the bacterial symbiont flora of the insects. Here, we performed discovery proteomic analyses in nine whiteflies populations from both B (MEAM1) and Q (MED) species with different TYLCV transmission abilities. The results provide the first comprehensive list of candidate insect and bacterial symbiont (mainly Rickettsia) proteins associated with virus transmission. Efficient vector populations from two different B. tabaci species over-expressed or downregulated expression of proteins belonging to two different molecular pathways.
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Project description:We investigated the transcriptional response to thiamethoxam in the Bemisia tabaci using Illumina sequencing technology. A total of 1,338 genes were differently expressed in the thiamethoxam-resistant whiteflies.
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Project description:The saliva from Bemisia tabaci (MED biotype) adults was collected using an artificial feeding system and analyzed using an LC-MS/MS proteomics analysis.
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Project description:To investigated the stage-specific gene expression response to thiamethoxam in the Bemisia tabaci, we have designed the Agilent eArray platform to identify stage-regulated gene expression towards thiamethoxam exposure.
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Project description:The whitefly Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae), and the viruses it transmits, are a major constraint to vegetable crops, worldwide. Although the whitefly is usually controlled using chemical pesticides, biological control agents constitute an important component in integrated pest management programs. One of these agents is the wasp Eretmocerus mundus (Mercet) (Hymenoptera: Aphelinidae). E. mundus lays its egg on the leaf underneath the pupa of B. tabaci. First instars of the wasp hatch and penetrate the whitefly larvae. Initiation of parasitization induces the host to form a cellular capsule around the parasitoid. Around this capsule, epidermal cells multiply and thick layers of cuticle are deposited. The physiological and molecular processes underlying B. tabaci-E. mundus interactions have not been investigated so far. We have used a cDNA microarray containing 6,000 expressed sequence tags (ESTs) from the whitefly genome to study the parasitoid-whitefly interaction. We compared RNA samples collected across two time points of the parasitization process: when the parasitoid first instar started the penetration process and once it had fully penetrated the host. The results clearly indicated that genes known to be part of the defense pathways described in other insects are also involved in the response of B. tabaci to parasitization by E. mundus. Some of the responses observed included the repression of a serine protease inhibitor (serpin) and the induction of a melanization cascade. A second set of genes that strongly responded to parasitization included bacterial genes encoded by whitefly symbionts. Quantitative real-time PCR and FISH analyses showed that proliferation of Rickettsia, a facultative secondary symbiont, was strongly induced following the initiation of the parasitization process, a result that supported previous reports suggesting that endosymbionts may be involved in the insect host resistance to various environmental stresses. This is the first study examining the transcriptional response of a hemipteran insect to the attack of a biological control agent (Hymenopterous parasitoid), using a new genomic approach developed for this insect pest. The defense response in B. tabaci seems to resemble that of model organisms such as Drosophila melanogaster. Moreover, endosymbionts of B. tabaci seem to play a role in the response to parasitization, and this is supported by previously published results from aphids. Keywords: time course
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Project description:The whitefly Bemisia tabaci (Gennadius) causes tremendous losses to agriculture by direct feeding on plants and by vectoring several families of plant viruses. The B. tabaci species complex comprises over 10 genetic groups (biotypes) that are well defined by DNA markers and biological characteristics. B and Q are amongst the most dominant and damaging biotypes, differing considerably in fecundity, host range, insecticide resistance, virus vectoriality, and the symbiotic bacteria they harbor. We used a spotted B. tabaci cDNA microarray to compare the expression patterns of 6,000 ESTs of B and Q biotypes under standard 25°C regime and heat stress at 40°C. Overall, the number of genes affected by increasing temperature in the two biotypes was similar. Gene expression under 25ºC normal rearing temperature showed clear differences between the two biotypes: B exhibited higher expression of mitochondrial genes, and lower cytoskeleton, heat-shock and stress-related genes, compared to Q. Exposing B-biotype whiteflies to heat stress was accompanied by rapid alteration of gene expression. For the first time, the results here present differences in gene expression between very closely related and sympatric B. tabaci biotypes, and suggest that these clear-cut differences are due to better adaptation of one biotype over another and might eventually lead to changes in the local and global distribution of both biotypes.
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